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Paper Citation Record · LEDGER

Magistral

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2506.10910.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.10910 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:56:20.082102Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6bfc45b6-5981-4322-8ba9-320755b5e74a · inbound

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts cites this paper.

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts Magistral

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T20:54:21.599958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T20:53:58.198974Z digest=sha256:ef6d4538dfb1e689a49d67642d92ef57056a93b6b301f618470dae233b3f43c1

Observation f6298168-ee72-4d00-936c-212358e8e52e · inbound

Are Large Reasoning Models Interruptible? cites this paper.

Are Large Reasoning Models Interruptible? Magistral

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T10:07:52.637167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:07:52.637167Z digest=sha256:4dea6260977cea92f90aae340f2fc053eb9f3b30223738ecd61e1f2fb3d72ef1

Observation 8f14ebbe-2e79-4187-a375-14693ba94948 · inbound

Ministral 3 cites this paper.

Ministral 3 Magistral

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:12:24.787396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T19:12:24.627033Z digest=sha256:e27f339666f0f4f39e71d038718fe39f3baca0d729e3cce1882f0d1bde6b7417

Observation 44d95e98-01b7-446c-8e6f-a5982282210a · inbound

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models cites this paper.

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models Magistral

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:54:31.109524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T03:54:30.992080Z digest=sha256:8bc87c58a86cd1fdd82f75fea4c4304d6cf6169aaee5cb905ca4c91f29c0acc4

Observation 66e62282-7e92-4464-b7fd-5efd6a4a2270 · inbound

Simultaneous Speech-to-Speech Translation Without Aligned Data cites this paper.

Simultaneous Speech-to-Speech Translation Without Aligned Data Magistral

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T00:57:01.017891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:57:01.017891Z digest=sha256:b042bfeac063bb8d6c5b0bd9899ac900fc5ca703041f4135daab69534b37b3bf

Observation 7f4e80d6-e4f4-42ed-ba6b-3d5c09ab1a63 · inbound

The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling cites this paper.

The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling Magistral

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T23:14:39.407159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:14:39.407159Z digest=sha256:98e3c8a46b26e581e5aa8ea7565b8dd465b8bbba95c2f38ba44e74bce696c1cd

Observation 2f7f2d9e-b2fd-4310-9f85-63e6be00e0ed · inbound

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis cites this paper.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis Magistral

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T20:07:28.015727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:07:28.015727Z digest=sha256:c7d7dd95b317017df27da79940bee677df75b945c7aed99448a8cde105238904

Observation 4c23408e-dc3c-4095-a984-bb2e6ebd51b7 · inbound

A Novel Hierarchical Multi-Agent System for Payments Using LLMs cites this paper.

A Novel Hierarchical Multi-Agent System for Payments Using LLMs Magistral

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T20:05:40.456510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:05:40.456510Z digest=sha256:5846014cf98c289352063ff244e35224d39a263c1422d038fc59be81f13a6ab8

Observation 44806c9e-e9ac-4a7b-916d-e5f39cb499c4 · inbound

LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics cites this paper.

LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics Magistral

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T20:05:56.999962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:05:56.999962Z digest=sha256:5e20330ebd897c85fb65e516da33cef2d32b2135ede2adaee5ee56f43f5da228

Observation fee22f91-491a-47a8-8cf6-b9927dcdba70 · inbound

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios cites this paper.

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios Magistral

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T17:05:14.494409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:05:14.494409Z digest=sha256:4b3ad2a1d905eb9918f85a9f14895622a9b313c159646e26df967641297c2845

Observation 8a26308b-c52a-449b-b4aa-de02d9f608a0 · inbound

Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints cites this paper.

Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints Magistral

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:15:29.394776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T14:12:45.438246Z digest=sha256:37c86711a122d36d05f51c3edac0d2ee1b005c36a82b456e0a6c9311fa52ccfb

Observation 54215b74-247f-4322-b231-219345a6c660 · inbound

Beyond Distribution Sharpening: The Importance of Task Rewards cites this paper.

Beyond Distribution Sharpening: The Importance of Task Rewards Magistral

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:08:27.020410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T08:07:14.691463Z digest=sha256:07f472b64c782ee100cbd56e4eff2b3d8417feea75ba1caee3d456c507f997b5

Observation 034b9bc8-cef4-4c22-ae27-69e9705552b9 · inbound

Characterizing Model-Native Skills cites this paper.

Characterizing Model-Native Skills Magistral

Reference 82

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:06:19.473510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T05:42:49.694715Z digest=sha256:ae0ebe5f7388e8953d3a8ad1493f76f9d89a236a7123f13260a9c404944ecfdb

Observation fe227479-5036-4c4e-9c4a-efa2eac81788 · inbound

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards cites this paper.

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards Magistral

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-10T04:45:21.193991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T04:40:52.854907Z digest=sha256:0d42747b30c1fa50890cc40690940afa8a39a51694dcf7ab3c1b13d5a44a06eb

Observation 58c87324-1eda-4b9c-9218-514685fecf62 · inbound

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search cites this paper.

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search Magistral

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:06:05.595526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T02:19:18.121220Z digest=sha256:11a9eb46578827af21640681e0628e50dc6accf8a7296dbe0900b9f63c8dff44

Observation 68576317-78a5-4df6-8851-12825ea438f8 · inbound

Language as a Latent Variable for Reasoning Optimization cites this paper.

Language as a Latent Variable for Reasoning Optimization Magistral

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:31:06.613349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-09T21:40:37.499246Z digest=sha256:14cb84c988022ea37c194373d9964486659c45f0d5697d01fe5a82806af308b4

Observation 163e5329-0c8b-416f-b23e-05fd51ef83ca · inbound

ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction cites this paper.

ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction Magistral

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:11:15.966281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T06:34:56.032634Z digest=sha256:282601adda5f11c7123bad51a0e816acfc317b8cf55cd349c24819f81a6701ef

Observation 3288c138-cde4-4090-805b-18756e46e300 · inbound

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models cites this paper.

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models Magistral

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:06:06.496149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-09T18:51:59.402906Z digest=sha256:7d8e1aeacac5d72fd41d73015759df9fda9b05838c1ecd93e2f9abac06aa0b30

Observation 79c6f8be-3c78-4651-b24a-d1ed5273043c · inbound

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models cites this paper.

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models Magistral

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:55:31.085847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-01T07:48:28.381924Z digest=sha256:5daa5085ad6875369d83d16da5387e36fbe1f7155bfee4688ed2728ca366d032

Observation a26de0a7-cdf0-4b87-9f9f-cda7263cef3d · inbound

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models cites this paper.

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models Magistral

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T05:20:33.269530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T05:20:33.269530Z digest=sha256:507abdc34465e04df43c0e2899e1f273fc862a9dd0236a4b36a916e4937b344b

Observation 8ba3c1fa-e843-4348-b259-15b6efe9335f · inbound

Self-Supervised On-Policy Distillation for Reasoning Language Models cites this paper.

Self-Supervised On-Policy Distillation for Reasoning Language Models Magistral

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T14:43:21.816674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T14:42:55.368104Z digest=sha256:087823c197621699a88a1fad68f6ee418841d906ab12122b8161ead848951041

Observation 3b6793d2-7bf7-4271-80e8-b6900abc0ea9 · inbound

How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning cites this paper.

How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning Magistral

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-05T10:20:57.186398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-05T10:18:18.717871Z digest=sha256:b0bbb8384f63d9d94b7a784fd339e5c6e08afc0371225b046ed7798ca2d21e9c

Observation 1b858ce7-4e44-4d77-a08b-8ca5bbb14aa8 · inbound

A Primer in Post-Training Reasoning Data: What We Know About How It Works cites this paper.

A Primer in Post-Training Reasoning Data: What We Know About How It Works Magistral

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:06:20.508069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T14:40:21.583101Z digest=sha256:57d07bf80eee5116dba8475daebcdfa290490a8512c99963ac70cc98c3cc5f3a

Observation a2212d16-e9e4-4e84-9124-6dc20dae2279 · inbound

The Masked Advantage: Uncovering Local-Language Access to Cultural Knowledge in LLMs cites this paper.

The Masked Advantage: Uncovering Local-Language Access to Cultural Knowledge in LLMs Magistral

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T17:07:13.147843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T22:08:45.988451Z digest=sha256:8ad75ab0d113dc8bc92b48ea02db20e793de40a7f285d9805a089216ec00048d

Observation 25d944ad-0225-4817-aa40-72d6a6956ee1 · inbound

When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval cites this paper.

When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval Magistral

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:58:47.158738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T03:35:30.841853Z digest=sha256:514859eafe058cfded0127f11e45bf68d29c240af91fda1bac8943d2f441be31

Observation 3658b2d5-21c7-4ed9-b73f-9483efdbd014 · inbound

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier cites this paper.

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier Magistral

Reference 133

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:07:47.307984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T10:36:09.211639Z digest=sha256:b1b9d01d01af6264a5ba103acc1272dd33c59ccbc1f925412ac1101f5bcf7369

Observation 91a0ab2b-7c07-45aa-9722-061ead9fff09 · inbound

Predictable GRPO: A Closed-Form Model of Training Dynamics cites this paper.

Predictable GRPO: A Closed-Form Model of Training Dynamics Magistral

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.603748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T06:40:47.911021Z digest=sha256:b27e3465fa4cb7f7c1371a886d43a0b184e61003f93d9c22d54cf22eff15a8d8

Observation c4f07051-995b-4380-ae9c-81404c659281 · inbound

Predictable GRPO: A Closed-Form Model of Training Dynamics cites this paper.

Predictable GRPO: A Closed-Form Model of Training Dynamics Magistral

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:27:21.687480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-02T20:26:15.667646Z digest=sha256:47d66a89f419b968fc2e4a3ab7bd0bd91747ab099d0a6a9546d7cf95f22f5911

Observation 7dbec6d2-9bca-4ca5-9c09-a0e8a27e7e55 · inbound

Cost of Reasoning in non-English Languages: A Case Study on Japanese cites this paper.

Cost of Reasoning in non-English Languages: A Case Study on Japanese Magistral

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-14T14:12:44.286699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:12:44.286699Z digest=sha256:5251b90bd371d43d252bdf23ae60ab23816ca143d55fb89ed9e1f68050433c71

Observation 1941e2df-6267-42b0-98bb-c2f57dc50f90 · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness Magistral

Reference 145

Resolution
unresolved
no resolver link, observed 2026-08-01T08:36:30.534949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:36:30.534949Z digest=sha256:2a5b0878e0e7b973882ddf84a2fa059248853f60456415a15ce52ba22bff5888

Observation b9076e27-ef59-4b11-8172-d2e50da442da · inbound

Contrastive ESA: Human Evaluation of Multiple Translations at Once cites this paper.

Contrastive ESA: Human Evaluation of Multiple Translations at Once Magistral

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T11:48:50.895042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:48:50.895042Z digest=sha256:080d04172709b89abc44106bfea8a06429096434f4695c7f8004dc71c49e2b48

Observation ebb49bd1-9cb4-4867-8d6d-5f47806d1d42 · inbound

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability cites this paper.

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability Magistral

Reference 108

Resolution
unresolved
no resolver link, observed 2026-08-04T10:56:20.082102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:56:20.082102Z digest=sha256:b599cafe00e078f0a07adcb2b4534caddf837550d38fe5e4fb15f10a8ce043b6